Evidence map›Paper›PMID 33219401›Full record

ArticleJournal of cancer research and clinical oncology2021

Uncovering the microbiota in renal cell carcinoma tissue using 16S rRNA gene sequencing.

Junpeng Wang, Xin Li, Xiaoqiang Wu, Zhiwei Wang, Chan Zhang, Guanghui Cao, Kangdong Liu, Tianzhong Yan

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Microbiota and urinary tumor immunity: Mechanisms, therapeutic implications, and future perspectives.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  13. Intratumoral microbiota as cancer therapeutic target.Aging medicine (Milton (N.S.W)) · 2024
    Review
  14. Review
  15. Review
  16. The microbiota and renal cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Junpeng Wang *Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Xin Li *Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Xiaoqiang WuDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Zhiwei WangDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Chan ZhangDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Guanghui CaoDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Kangdong LiuDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China. kdliu@zzu.edu.cn.
Tianzhong YanDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China. ytz460@hotmail.com.ORCID http://orcid.org/0000-0002-0275-5533
Zhengzhou University · CN

Funding

Henan Provincial Medical Scientific and Technological Research Project No. 201702191Henan Provincial Scientific and Technological Research Project No. 192102310036
6 · The paper itself

Abstract

introductionIncreasing evidence indicates an important role of microbiota in cancer development and progression, while little is known about the correlation between microbiota and renal cell carcinoma (RCC). Thus, we performed this study to profile the intratumoral microbiota possibly associated with RCC. MATERIALS AND

methodsPaired RCC and adjacent normal tissue samples were collected from 24 patients with RCC. V3-V4 variable region of microbial 16S rRNA gene was sequenced using Illumina MiSeq. Sequencing reads were processed using QIIME. Differentially abundant bacterial taxa between groups were identified by LEfSe, and their potential functions were inferred by PICRUSt.

resultsDecreased species diversity was presented in RCC tissues (Simpson index, P = 0.0340), and the composition of the bacterial community in RCC tissues was significantly distinct from that in normal tissues (unweighted UniFrac distance, P = 0.026; weighted UniFrac distance, P = 0.017). Compared with normal tissues, 25 taxa increased and 47 reduced taxa were identified in RCC tissues. Among these taxa, the class Chloroplast (AUC = 0.91, P < 0.0001) and the order Streptophyta (AUC = 0.89, P < 0.0001) showed high indication accuracy to discriminate RCC tissues from normal tissues. Furthermore, nine altered pathways were identified in RCC tissues to reveal the potential microbial function.

conclusionsOur results have uncovered the presence of distinct microbiota in RCC and adjacent normal tissues and provided a better understanding of the possible role of the intratumoral microbiota in RCC. Further studies are required to confirm our results and determine the real correlation between microbiota and RCC.

Indexed as

AdultCarcinoma, Renal CellFemaleHumansKidneyKidney NeoplasmsMaleMicrobiotaMiddle AgedRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA gene sequencingDiversityMicrobiotaRenal cell carcinomaTumor tissue

Identifiers

PMID33219401
PMCPMC11801973
OpenAlexW3100566262

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.